Yuna-yun Chao

on the atlas — 17

• 充分發揮 Colab 訂閱的價值 - Colaboratory1 savers
• Understanding GRU Networks. In this article, I will try to give a… | by Simeon Kostadinov | Towards Data Science1 savers
• [1606.03126] Key-Value Memory Networks for Directly Reading Documents1 savers
• AutoEncoder (三)- Self Attention、Transformer | by Leyan Bin Veon | NLP-ML筆記 | Medium1 savers
• 機器學習- 神經網路(多層感知機 Multilayer perceptron, MLP) 含倒傳遞( Backward propagation)詳細推導 | by Tommy Huang | Medium1 savers
• Coding Neural Network — Forward Propagation and Backpropagtion | by Imad Dabbura | Towards Data Science1 savers
• bleu.dvi1 savers
• What is Beam Search? Explaining The Beam Search Algorithm | Width.ai1 savers
• Word2Vec vs GloVe - A Comparative Guide to Word Embedding Techniques1 savers
• 讓電腦聽懂人話: 直觀理解 Word2Vec 模型. Word2Vec 是 Google 於 2013 年由 Tomas… | by TengYuan Chang | Medium1 savers
• Word2Vec Tutorial Part 2 - Negative Sampling · Chris McCormick1 savers
• Word2Vec Tutorial - The Skip-Gram Model · Chris McCormick1 savers
• [譯]淺析t-SNE原理及其應用 | IT人1 savers
• 剖析深度學習 (4)：Sigmoid, Softmax怎麼來？為什麼要用MSE和Cross Entropy？談廣義線性模型 - YC Note1 savers
• Word2vec from scratch (Skip-gram & CBOW) | by PoCheng Lin | Medium1 savers
• 使用 TensorFlow 學習 Softmax 回歸 (Softmax Regression) | by Airwaves | 手寫筆記 | Medium1 savers
• Skip-Gram: NLP context words prediction algorithm | by Sanket Doshi | Towards Data Science1 savers